Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

MGT-CCHP control system based on economic forecast control

A MGT-CCHP, predictive control technology, applied in general control systems, control/regulation systems, adaptive control, etc., can solve problems such as large differences in operating characteristics and small stand-alone capacity

Active Publication Date: 2018-02-16
SOUTHEAST UNIV
View PDF8 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as an emerging technology, MGT-CCHP is quite different from conventional energy systems in terms of operating characteristics, such as small unit capacity, rapid start-up and stop, and the nearest user side, etc., and has the characteristics of multi-device integration, multi-production points, and multi-load coupling. Optimum operation of such systems is a new challenge due to the extreme flexibility of operation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MGT-CCHP control system based on economic forecast control
  • MGT-CCHP control system based on economic forecast control
  • MGT-CCHP control system based on economic forecast control

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0099] The specific implementation method comprises the following steps:

[0100] (1) The three-input-three-out MGT-CCHP system model that the present invention uses obtains from known literature, respectively applies step disturbance to three input quantities successively, observes the output response curve, is used for the input quantity of step disturbance test experiment and output response curves are as figure 2 with 3 shown.

[0101] (2) Collect disturbances such as unmeasurable disturbances and model mismatches in the process into a disturbance quantity d(k), as a new state quantity, amplify the original state space model, and use the Kalman filter to estimate all states amount and disturbance;

[0102] (3) Set the parameters of the economic forecast controller as: sampling time T s =2s, prediction time domain P=200s, control time domain M=10s, error weight matrix Q=diag(Q f ,...,Q f ), the control right matrix R=diag(R f ,...,R f ), where the diagonal elements...

Embodiment 1

[0108] Example 1 is to test the effectiveness of the proposed MGT-CCHP control system based on economic predictive control in the grid-connected mode and under the thermal constant power operation mode. In this mode, providing sufficient cold / hot water is the main purpose of the MGT-CCHP control system, and electric energy is regarded as an additional product. If the electricity generated is less / more than the demand, the insufficient / excess part will be purchased from or sold to the grid, and the weighting coefficient is set as: α 1 =1,α 2 =10,α 3 =10,α 4 =1,α 5 =1. Assuming that the initial operating state point of the MGT-CCHP system is (80kw, 7°C, 80°C), the cooling water temperature and domestic hot water temperature are required to rise to 7.7°C and 88°C respectively at t=50s. In addition, at t=420s, due to the change of gas quality, the input disturbance u 1d =-0.075 applied to the subject. A conventional economic predictive controller (nEMPC) without a disturban...

Embodiment 2

[0110] Example 2 is to test the effectiveness of the proposed MGT-CCHP control system based on economic predictive control in island mode. In this mode, the MGT-CCHP system is disconnected from the grid, and the system itself needs to meet all the electricity / heat / cool load requirements of the user. Assuming that the initial working state of the MGT-CCHP system is (80kw, 7°C, 80°C), at t=20s, the output power, cooling water temperature, and domestic hot water temperature are required to change to 72kW, 7.7°C and 88°C respectively. In addition, at t=420s, due to the change of gas quality, the input disturbance u 1d = 0.075 applied to the subject. In Example 2, a conventional model predictive controller (TMPC) with a disturbance model was used for comparison. The output and control response curves of the simulation results are as follows: Image 6 with 7 shown. The dotted line represents the economic predictive controller with disturbance proposed by the present invention, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an MGT-CCHP control system based on economic forecast control. The MGT-CCHP control system comprises an economic forecast control unit, an MGT-CCHP system unit, a disturbance model unit and a state and disturbance observer unit. By introducing a disturbance model into an object model, the MGT-CCHP control system integrates the immeasurable disturbance of the system and model mismatch information into one disturbance quantity, an original state space model is amplified, then all the state quantities are estimated by a Kalman filter and used for the calculation in an economic forecast controller, so that the influence of the disturbance on the optimization of an optimal control quantity by the economic forecast controller is removed and the anti-interference performance of the system is improved. Weight coefficients of different objective functions in the economic forecast controller can be adjusted to allow the MGT-CCHP system to switch rapidly under different operating modes to meet the complex and changeable load requirements. At the same time, the actual constraints such as upper and lower valve opening limits and the rate limit are taken into account to avoid the influence on the system performance saturation due to the saturation of an actuator.

Description

technical field [0001] The invention relates to the field of thermal automatic control, in particular to an MGT-CCHP control system based on economic predictive control. Background technique [0002] The distributed energy system integrates the advantages of energy saving, environmental protection and safety, and is an effective way to alleviate the energy crisis, reduce environmental pollution and greenhouse gas emissions, and achieve sustainable development strategies. As an important development direction of distributed energy systems, Micro Gas Turbine Combined Cooling, Heating and Power System (referred to as MGT-CCHP system) is one of the best ways to provide clean, reliable, high-quality, multi-purpose small-scale distributed energy. However, as an emerging technology, MGT-CCHP is quite different from conventional energy systems in terms of operating characteristics, such as small unit capacity, rapid start-up and stop, and the nearest user side, etc., and has the cha...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 张怡吴啸孙立张俊礼沈炯
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com